Ramin Bohlouli is a PhD student at Sapienza University of Rome, focusing on discrete choice analysis and demand prediction in the field of transportation. His research integrates traditional modeling techniques with machine learning algorithms to enhance the accuracy of transport demand forecasting and user behavior analysis.
Ramin has extensive practical experience in software development, particularly in .NET web applications and CI/CD processes, gained from his roles at PTV SISTeMA—a prominent spin-off of Sapienza University—and Movesion S.R.L., a leading Italian company in mobility solutions.
Proficient in C# and Python, Ramin is also skilled in data management with SQL and simulation software such as PTV Vissim and PTV Visum. His combined technical and analytical expertise positions him well to contribute to advancements in transportation research and technology.